Let's say that you need to train an algorithm for classifying objects and you have access to a small amount of data. You also have a pre$-$trained model which was trained for a similar task. What would you do$?$

a$)$ Train a deep Convolutional Neural Network

b$)$ Evaluate the important layers of the pre$-$trained model and re$-$tune them

c$)$ Re$-$train only the last layer of the pre$-$trained model

d$)$ Re$-$train only the first layer of the pre$-$trained model